Ricardo M. A. Silva - researchr alias

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Viewing Publication 1 - 25 from 25

2023

cudaBRKGA-CNN: An Approach for Optimizing Convolutional Neural Network ArchitecturesAndersson A. Da Silva, Ricardo M. A. Silva, Amanda S. Xavier, Thiago D. Bispo, Geraldo R. Mateus, Mauricio G. C. Resende. cec 2023: 1-8 [doi]

2018

Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced DatasetsPéricles B. C. de Miranda, Romero F. A. B. de Morais, Ricardo M. A. Silva. cec 2018: 1-7 [doi]

2017

A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasetsRomero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva. esann 2017: [doi]

Multi-objective optimization of multimedia embedded systems using genetic algorithms and stochastic simulationBruno Costa e Silva Nogueira, Paulo Romero Martins Maciel, Eduardo Tavares, Ricardo M. A. Silva, Ermeson Carneiro de Andrade. soco, 21(14):4141-4158, 2017. [doi]

2016

A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data SetsRomero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva. bracis 2016: 385-390 [doi]

Sensitive GRASP: combinatorial optimisation of composite web services guided by sensitivity analysisRubens de S. Matos, Paulo R. M. Maciel, Ricardo M. A. Silva. ijwgs, 12(1):63-80, 2016. [doi]

2015

2014

2013

QoS-driven optimisation of composite web services: an approach based on GRASP and analytical modelsRubens de S. Matos, Paulo Romero Martins Maciel, Ricardo M. A. Silva. ijwgs, 9(3):304-321, 2013. [doi]

Virtual Network Resource Allocation Considering Dependability IssuesVictor Lira, Eduardo Tavares, Stenio F. L. Fernandes, Paulo Romero Martins Maciel, Ricardo M. A. Silva. cse 2013: 330-337 [doi]

Randomized heuristics for handover minimization in mobility networksL. F. Morán-Mirabal, José Luis González Velarde, Mauricio G. C. Resende, Ricardo M. A. Silva. heuristics, 19(6):845-880, 2013. [doi]

A Python/C library for bound-constrained global optimization with continuous GRASPRicardo M. A. Silva, Mauricio G. C. Resende, Panos M. Pardalos, Michael J. Hirsch. ol, 7(5):967-984, 2013. [doi]

Biased random-key genetic algorithm for nonlinearly-constrained global optimizationRicardo M. A. Silva, Mauricio G. C. Resende, Panos M. Pardalos, Joao L. Faco. cec 2013: 2201-2206 [doi]

2012

A biased random-key genetic algorithm for the Steiner triple covering problemMauricio G. C. Resende, Rodrigo F. Toso, José Fernando Gonçalves, Ricardo M. A. Silva. ol, 6(4):605-619, 2012. [doi]

2011

2010

Continuous GRASP with a local active-set method for bound-constrained global optimizationErnesto G. Birgin, Erico M. Gozzi, Mauricio G. C. Resende, Ricardo M. A. Silva. jgo, 48(2):289-310, 2010. [doi]

Automatic Tuning of GRASP with Path-Relinking Heuristics with a Biased Random-Key Genetic AlgorithmPaola Festa, José Fernando Gonçalves, Mauricio G. C. Resende, Ricardo M. A. Silva. wea 2010: 338-349 [doi]

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